regards,
from

Image Vision

s = regionprops(bw, 'Area', 'Centroid', 'Solidity');

And you can convert the measurements from struct array form to vectors (or matrices) using the comma-separated list syntax for struct arrays:

area = cat(1,s.Area);
centroids = cat(1,s.Centroid);

See my 21-Jun-2011 post for an example of labeling objects with text.

2 questions:

1) Is there any way to capture multiple regionprops (e.g. area, centroid, solidity, etc.) and generate an array of the data, to be used later for statistical processing?

2) Is there any way to label the index numbers next to each object?

Thank you very much in advance.

bw = imread('text.png');
s = regionprops(bw,'Centroid')
centroids = cat(1, s.Centroid)
rounded_centroids = round(centroids)
c = rounded_centroids(:,1);
r = rounded_centroids(:,2);
ind = sub2ind(size(bw), r, c);
bw_new = false(size(bw));
bw_new(ind) = true;

I used this example to generate centroids of the regions output by an imextendedmax calculation. My goal though is to have these centroids in raster format (basically, i just wanted to shrink the extended max output to a bunch of single pixels).

Could you assist me in converting the centroids back to a bw image or let me know if you think there is a better way to get where i’m going?

Thanks,
Mike